The impact of supply chain analytics on operational performance: a resource-based view

This study seeks to better understand the role of supply chain analytics (SCA) on supply chain planning satisfaction and operational performance. We define the architecture of SCA as the integration of three sets of resources, data management resources (DMR), IT-enabled planning resources and performance management resources (PMR), from the perspective of a resource-based view. Based on the data collected from 537 manufacturing plants, we test hypotheses exploring the relationships among these resources, supply chain planning satisfaction, and operational performance. Our analysis supports that DMR should be considered a key building block of manufacturers’ business analytics initiatives for supply chains. The value of data is transmitted to outcome values through increasing supply chain planning and performance capabilities. Additionally, the deployment of advanced IT-enabled planning resources occurs after acquisition of DMR. Manufacturers with sophisticated planning technologies are likely to take advantage of data-driven processes and quality control practices. DMR are found to be a stronger predictor of PMR than IT planning resources. All three sets of resources are related to supply chain planning satisfaction and operational performance. The paper concludes by reviewing research limitations and suggesting further SCA research issues.     

The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda

In recent years, Industry 4.0 has emerged as one of the most discussed concepts and has gained significant popularity in both academia and the industrial sector. Both Industry 4.0 and lean manufacturing utilise decentralised control and aim to increase productivity and flexibility. However, there have been few studies investigating the link between these two domains. This article explores this novel area and maps the current literature. This is achieved through a systematic literature review methodology, investigating literature published up to and including August 2017. This article identifies four main research streams concerning the link between Industry 4.0 and lean manufacturing, and a research agenda for future studies is proposed.     

IT investments and business performance improvement: the mediating role of lean manufacturing implementation

The main purpose of this study is to examine whether the application of current information technology (IT) and different principles of lean manufacturing (LM) are interdependent and complimentary or they are mutually exclusive. This study draws on the so-called IT-enabled organisational capabilities perspective to study the relationships between IT, LM and business performance improvement. Using a questionnaire-based survey, the data come from 231 leading Iranian and Malaysian auto-part manufacturers. The findings suggest that LM and IT are mutually interdependent and value of IT investments can be effectively transformed into business performance improvement for auto-part manufacturers through the higher levels of lean manufacturing system (LMS) implementation. Advanced manufacturing technology (AMT) competency is a valuable intermediate capability which links IT investments into LMS implementation. It was found that IT investment is one of the minimum requirements of LMS implementation for surveyed business, and the value of IT investment is truly transformed to LMS implementation when IT investments offer competent administrative AMTs to effectively manage all production processes. Findings also recommend that managers should avoid isolating the performance metrics only on areas such as net financial measures, while assessing the business value of IT and LM.     

Lean management in the context of construction supply chains

Construction started its lean journey with learning from manufacturing. Unlike lean manufacturing, few studies to date have investigated lean construction in both breadth and depth, especially from the perspective of construction supply chains. The limited understanding of lean construction results in a research problem. This research aims to explore the implementation of lean principles in the context of project-based construction supply chains. It achieves its aim through an empirical investigation in the UK. A combination of quantitative and qualitative methodologies provides this research with validity and reliability. Lean principles are found applicable to both residential building projects and many other types of construction projects. It is also found that lean construction can be enhanced if it synergizes with supply chain collaboration. Another finding is that lean management has a significant impact on project performance. Nowadays, construction pursues best lean practices through both learning from manufacturing and developing its own paths. Similar to manufacturing, more and more construction projects adopt industrialised and standardised production and lean management with supply chain collaboration to become leaner. On the other hand, construction-specific management approaches and information technology (IT) tools are increasingly used in lean construction practices to maximise value and minimise waste.     

Challenges in the transformation to lean production from different manufacturing-process choices: a path-dependent perspective

The implementation of lean production remains popular among industrial companies, and the requirement for individualised steps in its implementation is widely accepted; however, research has not yet considered the different process choices available to the companies. The conclusions drawn from the automotive industry's mass production environment may be misleading, given the different conditions of many other industries. We therefore compare case data from a craft producer with the rich, case-study based literature of mass producer companies that highlight the transformation from mass to lean production. We derive a list of specific challenges a craft producer must approach using a different strategy than a mass producer. This study adds to the lean production theory by demonstrating how different manufacturing process choices influence the lean transformation process and its successful implementation. It provides specific propositions concerning the transformation to lean by considering the different processes of craft and mass production companies. Furthermore, the case study gives an in-depth understanding of the challenges a craft-oriented company faces when becoming lean.     

Engineering management for high-end equipment intelligent manufacturing

The high-end equipment intelligent manufacturing (HEIM) industry is of strategic importance to national and economic security. Engineering management (EM) for HEIM is a complex, innovative process that integrates natural science, technology, management science, social science, and the human spirit. New-generation information technology (IT), including the internet, cloud computing, big data, and artificial intelligence, have made a remarkable influence on HEIM and its engineering management activities, such as product system construction, product life cycle management, manufacturing resources organization, manufacturing model innovation, and reconstruction of the enterprise ecosystem. Engineering management for HEIM is a key topic at the frontier of international academic research. This study systematically reviews the current research on issues pertaining to engineering management for HEIM under the new-generation IT environment. These issues include cross-lifecycle management, network collaboration management, task integration management of innovative development, operation optimization of smart factories, quality and reliability management, information management, and intelligent decision making. The challenges presented by these issues and potential research opportunities are also summarized and discussed.     

Project planning and risk management as a success factor for IT projects in agricultural schools in Serbia

Enterprises and business systems are introducing modern information and communication technologies into their organizations to improve their business processes and gain a competitive advantage. Theoretical research, as well as research carried out in practice, unambiguously indicate that companies take this step without the necessary professional analysis of business processes and insufficient knowledge of the project management methodology. Also, in this area there is a lack of adequate literature, especially in the field of information technology (IT) project management. This paper provides a new approach for research in the field of project management throughout a studious analysis of risk management in IT projects. To confirm hypotheses, this paper examines and outlines concrete IT management solutions in business systems with emphasis on education organizations, which leads to business improvement and achievement of positive business results.     

The moderating role of temporary work on the performance of lean manufacturing systems

Companies are extensively employing lean manufacturing practices and temporary work, which at face value are in stark contrast to each other. While lean manufacturing emphasises the value of workers, temporary work refers to precarious work arrangements that, based on social exchange theory, may harm workers’ commitment. The objective of this paper is to unveil the role of temporary work on the lean manufacturing – operational performance (i.e. cost, quality, delivery, flexibility) relationship. To answer our research question and test our hypotheses we utilise cross-country data collected through the sixth iteration of the International Manufacturing Strategy Survey and conduct multilevel regression analysis. Our results indicate that while lean manufacturing improves operational performance, the use of temporary work positively influences the relationship between lean manufacturing and mix and volume flexibility performance.     

A time-based quantitative approach for selecting lean strategies for manufacturing organisations

Lean strategies have been developed to eliminate or reduce waste and thus improve operational efficiency in a manufacturing environment. However, in practice, manufacturers encounter difficulties to select appropriate lean strategies within their resource constraints and to quantitatively evaluate the perceived value of manufacturing waste reduction. This paper presents a methodology developed to quantitatively evaluate the contribution of lean strategies selected to reduce manufacturing wastes within the manufacturers’ resource (time) constraints. A mathematical model has been developed for evaluating the perceived value of lean strategies to manufacturing waste reduction and a step-by-step methodology is provided for selecting appropriate lean strategies to improve the manufacturing performance within their resource constraints. A computer program is developed in MATLAB for finding the optimum solution. With the help of a case study, the proposed methodology and developed model has been validated. A ‘lean strategy-wastes’ correlation matrix has been proposed to establish the relationship between the manufacturing wastes and lean strategies. Using the correlation matrix and applying the proposed methodology and developed mathematical model, authors came out with optimised perceived value of reduction of a manufacturer's wastes by implementing appropriate lean strategies within a manufacturer's resources constraints. Results also demonstrate that the perceived value of reduction of manufacturing wastes can significantly be changed based on policies and product strategy taken by a manufacturer. The proposed methodology can also be used in dynamic situations by changing the input in the programme developed in MATLAB. By identifying appropriate lean strategies for specific manufacturing wastes, a manufacturer can better prioritise implementation efforts and resources to maximise the success of implementing lean strategies in their organisation.     

Evaluating the performance of US manufacturing and service operations in the presence of IT: a Bayesian stochastic production frontier approach

In this paper, we evaluate the performance of US manufacturing and service operations in the presence of information technology (IT) as measured by technical efficiency, using firm-level data from 133 companies over the period from 1999 to 2009. To gain insight into the phenomenon of the ‘IT productivity paradox’, or the history of inconsistent findings in the existing literature, we employ a Bayesian stochastic production frontier approach to model the relationship between performance and technical efficiency at the firm, industry and sector levels. Some results are indicative of a slight advantage of the manufacturing sector over the service sector in terms of technical efficiency and a significant positive contribution of IT-investment to firm output. However, other results do suggest the productivity paradox, because of a lack of any definitive association of high IT investment levels with either high- or low-technical efficiency. Indeed, the findings of this study suggest that the origin of some portion of the IT productivity paradox may exist at the industry level, in that the relationship between extreme levels of IT-investment and extreme levels of technical efficiency appear to work differently in sufficiently different industries.     

Towards greater understanding of success and survival of lean systems

The purposes of this research are to remove some of the confusion surrounding the characterisation of lean systems; to delve deeper into the human issues associated with lean; and to explore the complexity of an established lean system to identify issues which affect its success and ongoing continuance. Using the mixed methods of literature analysis, semi-structured interviews and document analysis, we examine the lean implementation in one site of an international car manufacturer. We claim several contributions for the work. First, we produce a literature-based taxonomy defining the core dimensions of lean – this gives managers a clear roadmap for lean implementation. A second contribution is a detailed delineation of the human issues of lean, from which managers can follow our set of themes to guide their managerial efforts. Finally, we provide insights into the inner workings of a lean system showing several examples of the delicate balances and tensions which exist. Perhaps none is as significant as the issue of its long term survival, which our findings suggest may be at risk. This serves as a warning signal to managers to be on constant lookout for signs of faltering or failure.     

Application of interpretive structural modelling for analysing the factors influencing integrated lean sustainable system

The modern manufacturing systems recognize the importance of adopting lean and sustainable manufacturing principles. Especially, Indian automotive component manufacturing organizations are interested in adopting the integrated lean sustainable manufacturing system. An appropriate methodology is required for enabling the organizations to identify the dominant factors. In this context, this article presents the interpretive structural modelling approach for identifying the mutual relationship among factors influencing the integrated lean sustainable manufacturing system. From the literature study and survey conducted among Indian automotive component manufacturing organizations, 25 influencing factors have been identified. Based on the study, top-management commitment in adopting integrated lean sustainable manufacturing and environmental knowledge occupy the bottom level of model which shows that it has more driving power. Efforts are being taken to implement the factors in the surveyed organizations.     

Industry 4.0 and lean manufacturing practices for sustainable organisational performance in Indian manufacturing companies

The current literature claims the direct effects of industry 4.0 technologies (I4?T) on lean manufacturing practices (LMP) and sustainable organisational performance (SOP). LMP are also found to have a positive influence on SOP. However, the integrated effect of I4?T and LMP on SOP has not been empirically investigated. To address this gap, this research study investigates the indirect effects of I4?T on SOP with LMP as the mediating variable; furthermore, it aims to confirm or not the direct effects of I4?T on LMP and SOP. The study is based on data collected from 205 managers, working in 115 manufacturing firms. The findings suggest significant direct and indirect effects of I4?T on SOP and confirm the presence of LMP as a strong mediating variable. The results of the study extend the literature on I4?T by identifying I4?T as an enabler of LMP, leading to enhancement of the SOP. Implications and future research directions for academicians, practitioners, and consultants are provided.     

Method for assessing human resources management practices and organisational learning factors in a company under lean manufacturing implementation

The implementation of lean production systems is deemed essential for companies that wish to obtain high levels of competitiveness. There are several examples in the literature discussing the adoption of lean roadmaps; however, since such maps emphasise technical factors of lean change, the organisational learning (OL) process and human resources management (HRM) practices tend to be neglected. This article presents a method for assessing the impact of HRM practices and OL factors in a company under lean implementation. The method incorporates concepts of HRM and OL into lean implementation roadmaps, enabling a maturity analysis regarding dimensions of OL at different contextualisation levels, and allowing the proposition of improvements in HRM practices. The proposed method is illustrated in a case study from the automotive parts manufacturing sector.     

Lean,Six Sigma and Lean Six Sigma: an analysis based on operations strategy

There is a growing need for operations management models that contribute to the continuous improvement of company processes, among them we highlight lean manufacturing, Six Sigma and, more recently, Lean Six Sigma (LSS). This article aims (1) to identify and analyse the differences and complementarities in the production decision areas for each one of the three models; (2) to identify the competitive priorities that lead to the best performance as a result of policies followed in the decision areas as a result of the adopted model. First, a theoretical conceptual model was developed based on a review of the literature, followed by a exploratory research questions applied to manufacturing companies that use the lean, Six Sigma or LSS manufacturing models in southern Brazil. The main results show that there are differences in the models in relation to the importance of the decision areas and the performance achieved in the competitive priorities. Individually, lean manufacturing, Six Sigma and LSS have varying degrees of importance in the Facilities, Vertical Integration and Production Planning and Control decision areas. The performance dimensions with the best performance are speed, quality, reliability and cost.     

Lean Implementation and Organizational Transformation: A Literature Review

Manufacturing organizations are constantly striving to develop more effective and flexible means for managing challenges due to globalization and increasing customer expectations. This has led to increased efforts by the business community to research and implement the Toyota Production System, or lean manufacturing, to address these challenges. These efforts have resulted in numerous publications on lean manufacturing, including research reports, scholarly articles, and trade magazine articles. However, the existing body of knowledge on lean manufacturing is disperse and diverse in nature with respect to the application and implementation of lean tools and practices, making it difficult for researchers and practitioners to gain a real grasp of this topic. In this article, we have comprehensively organized the existing work on implementation of lean manufacturing in a more structured way, enabling engineering management practitioners to more easily identify knowledge and best practices and enabling researchers to identify gaps in the extant literature. Lastly, drawing from the organizational science literature, this article also provides important insights on lean manufacturing from the perspective of organizational learning, innovation, and \culture.     

Structural Equation Modelling of lean manufacturing practices

The purpose of this research study is to analyse lean manufacturing practices in different industries and to identify the critical factors for its success implementation. Despite the fact that lean manufacturing has been frequently promoted as a means of improving business competitiveness, little empirical evidence exists in the literature validating its positive link with organisational performance. Lean manufacturing practices not only help in reducing the number of defects but also reduces the cost of production. For this purpose, empirical data is collected to measure the lean manufacturing practices prevailing in different industries located in Tamil Nadu, India. A Structural Equation Modelling (SEM) technique is used to build the measurement and structural models. Later, statistical estimates are used to validate the model that has been built. The data analysis helps to determine whether to accept or reject the hypothesis that has been stated based on the structural model. The result shows how lean manufacturing practices are correlated and help in improving the organisational performance among the industries being surveyed.     

制造业信息化的内涵和策略

制造业信息化是我国"十五"发展规划的重点之一。文章首先阐述了信息化的发展趋势、目的和作用,指出信息化的根本目的是减少浪费和提高效益,使我国制造业更加具有竞争力。然后从企业的运作和业务流程的角度探讨了制造业信息化的内涵和主要内容,并就如何在中国制造企业实现信息化,包括它的策略和方法进行了讨论。